Improved wind-driven optimization algorithm for the optimization of hydropower generation from a reservoir

The improvement of reservoir operation optimization (ROO) can lead to comprehensive economic benefits as well as sustainable development of water resources. To achieve this goal, an algorithm named wind-driven optimization (WDO) is first employed for ROO in this paper. An improved WDO(IWDO) is devel...

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Autores principales:	Yin Liu, Shuanghu Zhang, Yunzhong Jiang, Dan Wang, Qihao Gu, Zhongbo Zhang
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	constraint handling reservoir operation optimization search space reduction wind-driven optimization Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/d9b0f10152174ccdb7339f87bfc9e20c
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id	oai:doaj.org-article:d9b0f10152174ccdb7339f87bfc9e20c
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spelling	oai:doaj.org-article:d9b0f10152174ccdb7339f87bfc9e20c2021-11-23T18:48:36ZImproved wind-driven optimization algorithm for the optimization of hydropower generation from a reservoir1464-71411465-173410.2166/hydro.2021.174https://doaj.org/article/d9b0f10152174ccdb7339f87bfc9e20c2021-11-01T00:00:00Zhttp://jh.iwaponline.com/content/23/6/1197https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734The improvement of reservoir operation optimization (ROO) can lead to comprehensive economic benefits as well as sustainable development of water resources. To achieve this goal, an algorithm named wind-driven optimization (WDO) is first employed for ROO in this paper. An improved WDO(IWDO) is developed by using a dynamic adaptive random mutation mechanism, which can avoid the algorithm stagnation at local optima. Moreover, an adaptive search space reduction (ASSR) strategy that aims at improving the search efficiency of all evolutionary algorithms is proposed. The application results of the Goupitan hydropower station show that IWDO is an effective and viable algorithm for ROO and is capable of obtaining greater power generation compared to the classic WDO. Moreover, it is shown that the ASSR strategy can improve the search efficiency and the quality of scheduling results when coupled with various optimization algorithms such as IWDO, WDO and particle swarm optimization. HIGHLIGHTS A new algorithm named wind-driven optimization algorithm (WDO) is first introduced to reservoir operation optimization.; WDO is improved by two novel strategies.; One of the strategies mentioned in point 2 is also suitable for other algorithms to improve the efficiency of algorithms.;Yin LiuShuanghu ZhangYunzhong JiangDan WangQihao GuZhongbo ZhangIWA Publishingarticleconstraint handlingreservoir operation optimizationsearch space reductionwind-driven optimizationInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 6, Pp 1197-1213 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	constraint handling reservoir operation optimization search space reduction wind-driven optimization Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	constraint handling reservoir operation optimization search space reduction wind-driven optimization Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Yin Liu Shuanghu Zhang Yunzhong Jiang Dan Wang Qihao Gu Zhongbo Zhang Improved wind-driven optimization algorithm for the optimization of hydropower generation from a reservoir
description	The improvement of reservoir operation optimization (ROO) can lead to comprehensive economic benefits as well as sustainable development of water resources. To achieve this goal, an algorithm named wind-driven optimization (WDO) is first employed for ROO in this paper. An improved WDO(IWDO) is developed by using a dynamic adaptive random mutation mechanism, which can avoid the algorithm stagnation at local optima. Moreover, an adaptive search space reduction (ASSR) strategy that aims at improving the search efficiency of all evolutionary algorithms is proposed. The application results of the Goupitan hydropower station show that IWDO is an effective and viable algorithm for ROO and is capable of obtaining greater power generation compared to the classic WDO. Moreover, it is shown that the ASSR strategy can improve the search efficiency and the quality of scheduling results when coupled with various optimization algorithms such as IWDO, WDO and particle swarm optimization. HIGHLIGHTS A new algorithm named wind-driven optimization algorithm (WDO) is first introduced to reservoir operation optimization.; WDO is improved by two novel strategies.; One of the strategies mentioned in point 2 is also suitable for other algorithms to improve the efficiency of algorithms.;
format	article
author	Yin Liu Shuanghu Zhang Yunzhong Jiang Dan Wang Qihao Gu Zhongbo Zhang
author_facet	Yin Liu Shuanghu Zhang Yunzhong Jiang Dan Wang Qihao Gu Zhongbo Zhang
author_sort	Yin Liu
title	Improved wind-driven optimization algorithm for the optimization of hydropower generation from a reservoir
title_short	Improved wind-driven optimization algorithm for the optimization of hydropower generation from a reservoir
title_full	Improved wind-driven optimization algorithm for the optimization of hydropower generation from a reservoir
title_fullStr	Improved wind-driven optimization algorithm for the optimization of hydropower generation from a reservoir
title_full_unstemmed	Improved wind-driven optimization algorithm for the optimization of hydropower generation from a reservoir
title_sort	improved wind-driven optimization algorithm for the optimization of hydropower generation from a reservoir
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/d9b0f10152174ccdb7339f87bfc9e20c
work_keys_str_mv	AT yinliu improvedwinddrivenoptimizationalgorithmfortheoptimizationofhydropowergenerationfromareservoir AT shuanghuzhang improvedwinddrivenoptimizationalgorithmfortheoptimizationofhydropowergenerationfromareservoir AT yunzhongjiang improvedwinddrivenoptimizationalgorithmfortheoptimizationofhydropowergenerationfromareservoir AT danwang improvedwinddrivenoptimizationalgorithmfortheoptimizationofhydropowergenerationfromareservoir AT qihaogu improvedwinddrivenoptimizationalgorithmfortheoptimizationofhydropowergenerationfromareservoir AT zhongbozhang improvedwinddrivenoptimizationalgorithmfortheoptimizationofhydropowergenerationfromareservoir
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Improved wind-driven optimization algorithm for the optimization of hydropower generation from a reservoir

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